{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>date</th>\n",
       "      <th>time</th>\n",
       "      <th>ir</th>\n",
       "      <th>lidar</th>\n",
       "      <th>irnext</th>\n",
       "      <th>lidarnext</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95819</td>\n",
       "      <td>305</td>\n",
       "      <td>214</td>\n",
       "      <td>299</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95822</td>\n",
       "      <td>299</td>\n",
       "      <td>211</td>\n",
       "      <td>292</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95826</td>\n",
       "      <td>292</td>\n",
       "      <td>199</td>\n",
       "      <td>321</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95829</td>\n",
       "      <td>321</td>\n",
       "      <td>208</td>\n",
       "      <td>298</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95832</td>\n",
       "      <td>298</td>\n",
       "      <td>212</td>\n",
       "      <td>327</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95835</td>\n",
       "      <td>327</td>\n",
       "      <td>212</td>\n",
       "      <td>293</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95838</td>\n",
       "      <td>293</td>\n",
       "      <td>215</td>\n",
       "      <td>309</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95840</td>\n",
       "      <td>309</td>\n",
       "      <td>218</td>\n",
       "      <td>323</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95843</td>\n",
       "      <td>323</td>\n",
       "      <td>208</td>\n",
       "      <td>292</td>\n",
       "      <td>217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95846</td>\n",
       "      <td>292</td>\n",
       "      <td>217</td>\n",
       "      <td>294</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95850</td>\n",
       "      <td>294</td>\n",
       "      <td>215</td>\n",
       "      <td>323</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95852</td>\n",
       "      <td>323</td>\n",
       "      <td>218</td>\n",
       "      <td>319</td>\n",
       "      <td>218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95856</td>\n",
       "      <td>319</td>\n",
       "      <td>218</td>\n",
       "      <td>313</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95858</td>\n",
       "      <td>313</td>\n",
       "      <td>214</td>\n",
       "      <td>298</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95902</td>\n",
       "      <td>298</td>\n",
       "      <td>209</td>\n",
       "      <td>296</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95905</td>\n",
       "      <td>296</td>\n",
       "      <td>211</td>\n",
       "      <td>294</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95908</td>\n",
       "      <td>294</td>\n",
       "      <td>210</td>\n",
       "      <td>314</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95911</td>\n",
       "      <td>314</td>\n",
       "      <td>215</td>\n",
       "      <td>300</td>\n",
       "      <td>212</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95914</td>\n",
       "      <td>300</td>\n",
       "      <td>212</td>\n",
       "      <td>324</td>\n",
       "      <td>219</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95917</td>\n",
       "      <td>324</td>\n",
       "      <td>219</td>\n",
       "      <td>295</td>\n",
       "      <td>220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95920</td>\n",
       "      <td>295</td>\n",
       "      <td>220</td>\n",
       "      <td>320</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95922</td>\n",
       "      <td>320</td>\n",
       "      <td>214</td>\n",
       "      <td>302</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95925</td>\n",
       "      <td>302</td>\n",
       "      <td>211</td>\n",
       "      <td>303</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95928</td>\n",
       "      <td>303</td>\n",
       "      <td>215</td>\n",
       "      <td>297</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95932</td>\n",
       "      <td>297</td>\n",
       "      <td>215</td>\n",
       "      <td>306</td>\n",
       "      <td>210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95934</td>\n",
       "      <td>306</td>\n",
       "      <td>210</td>\n",
       "      <td>302</td>\n",
       "      <td>217</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95937</td>\n",
       "      <td>302</td>\n",
       "      <td>217</td>\n",
       "      <td>296</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95940</td>\n",
       "      <td>296</td>\n",
       "      <td>215</td>\n",
       "      <td>308</td>\n",
       "      <td>213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95943</td>\n",
       "      <td>308</td>\n",
       "      <td>213</td>\n",
       "      <td>303</td>\n",
       "      <td>211</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>20180122</td>\n",
       "      <td>95947</td>\n",
       "      <td>303</td>\n",
       "      <td>211</td>\n",
       "      <td>309</td>\n",
       "      <td>215</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58958</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115907</td>\n",
       "      <td>297</td>\n",
       "      <td>210</td>\n",
       "      <td>320</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58959</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115910</td>\n",
       "      <td>320</td>\n",
       "      <td>204</td>\n",
       "      <td>324</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58960</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115914</td>\n",
       "      <td>324</td>\n",
       "      <td>205</td>\n",
       "      <td>302</td>\n",
       "      <td>199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58961</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115917</td>\n",
       "      <td>302</td>\n",
       "      <td>199</td>\n",
       "      <td>299</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58962</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115919</td>\n",
       "      <td>299</td>\n",
       "      <td>203</td>\n",
       "      <td>298</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58963</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115923</td>\n",
       "      <td>298</td>\n",
       "      <td>206</td>\n",
       "      <td>301</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58964</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115925</td>\n",
       "      <td>301</td>\n",
       "      <td>206</td>\n",
       "      <td>321</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58965</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115929</td>\n",
       "      <td>321</td>\n",
       "      <td>206</td>\n",
       "      <td>319</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58966</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115932</td>\n",
       "      <td>319</td>\n",
       "      <td>209</td>\n",
       "      <td>311</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58967</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115935</td>\n",
       "      <td>311</td>\n",
       "      <td>208</td>\n",
       "      <td>326</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58968</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115938</td>\n",
       "      <td>326</td>\n",
       "      <td>204</td>\n",
       "      <td>319</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58969</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115941</td>\n",
       "      <td>319</td>\n",
       "      <td>206</td>\n",
       "      <td>303</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58970</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115944</td>\n",
       "      <td>303</td>\n",
       "      <td>201</td>\n",
       "      <td>323</td>\n",
       "      <td>203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58971</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115947</td>\n",
       "      <td>323</td>\n",
       "      <td>203</td>\n",
       "      <td>302</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58972</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115950</td>\n",
       "      <td>302</td>\n",
       "      <td>205</td>\n",
       "      <td>314</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58973</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115953</td>\n",
       "      <td>314</td>\n",
       "      <td>202</td>\n",
       "      <td>326</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58974</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115956</td>\n",
       "      <td>326</td>\n",
       "      <td>204</td>\n",
       "      <td>308</td>\n",
       "      <td>201</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58975</th>\n",
       "      <td>20180124</td>\n",
       "      <td>115959</td>\n",
       "      <td>308</td>\n",
       "      <td>201</td>\n",
       "      <td>302</td>\n",
       "      <td>209</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58976</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120002</td>\n",
       "      <td>302</td>\n",
       "      <td>209</td>\n",
       "      <td>303</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58977</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120005</td>\n",
       "      <td>303</td>\n",
       "      <td>207</td>\n",
       "      <td>310</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58978</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120009</td>\n",
       "      <td>310</td>\n",
       "      <td>206</td>\n",
       "      <td>330</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58979</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120012</td>\n",
       "      <td>330</td>\n",
       "      <td>208</td>\n",
       "      <td>305</td>\n",
       "      <td>205</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58980</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120015</td>\n",
       "      <td>305</td>\n",
       "      <td>205</td>\n",
       "      <td>301</td>\n",
       "      <td>202</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58981</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120018</td>\n",
       "      <td>301</td>\n",
       "      <td>202</td>\n",
       "      <td>320</td>\n",
       "      <td>206</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58982</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120021</td>\n",
       "      <td>320</td>\n",
       "      <td>206</td>\n",
       "      <td>313</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58983</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120023</td>\n",
       "      <td>313</td>\n",
       "      <td>208</td>\n",
       "      <td>297</td>\n",
       "      <td>200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58984</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120026</td>\n",
       "      <td>297</td>\n",
       "      <td>200</td>\n",
       "      <td>323</td>\n",
       "      <td>204</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58985</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120030</td>\n",
       "      <td>323</td>\n",
       "      <td>204</td>\n",
       "      <td>326</td>\n",
       "      <td>207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58986</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120033</td>\n",
       "      <td>326</td>\n",
       "      <td>207</td>\n",
       "      <td>321</td>\n",
       "      <td>208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58987</th>\n",
       "      <td>20180124</td>\n",
       "      <td>120036</td>\n",
       "      <td>321</td>\n",
       "      <td>208</td>\n",
       "      <td>305</td>\n",
       "      <td>214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>58988 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "           date    time   ir  lidar  irnext  lidarnext\n",
       "0      20180122   95819  305    214     299        211\n",
       "1      20180122   95822  299    211     292        199\n",
       "2      20180122   95826  292    199     321        208\n",
       "3      20180122   95829  321    208     298        212\n",
       "4      20180122   95832  298    212     327        212\n",
       "5      20180122   95835  327    212     293        215\n",
       "6      20180122   95838  293    215     309        218\n",
       "7      20180122   95840  309    218     323        208\n",
       "8      20180122   95843  323    208     292        217\n",
       "9      20180122   95846  292    217     294        215\n",
       "10     20180122   95850  294    215     323        218\n",
       "11     20180122   95852  323    218     319        218\n",
       "12     20180122   95856  319    218     313        214\n",
       "13     20180122   95858  313    214     298        209\n",
       "14     20180122   95902  298    209     296        211\n",
       "15     20180122   95905  296    211     294        210\n",
       "16     20180122   95908  294    210     314        215\n",
       "17     20180122   95911  314    215     300        212\n",
       "18     20180122   95914  300    212     324        219\n",
       "19     20180122   95917  324    219     295        220\n",
       "20     20180122   95920  295    220     320        214\n",
       "21     20180122   95922  320    214     302        211\n",
       "22     20180122   95925  302    211     303        215\n",
       "23     20180122   95928  303    215     297        215\n",
       "24     20180122   95932  297    215     306        210\n",
       "25     20180122   95934  306    210     302        217\n",
       "26     20180122   95937  302    217     296        215\n",
       "27     20180122   95940  296    215     308        213\n",
       "28     20180122   95943  308    213     303        211\n",
       "29     20180122   95947  303    211     309        215\n",
       "...         ...     ...  ...    ...     ...        ...\n",
       "58958  20180124  115907  297    210     320        204\n",
       "58959  20180124  115910  320    204     324        205\n",
       "58960  20180124  115914  324    205     302        199\n",
       "58961  20180124  115917  302    199     299        203\n",
       "58962  20180124  115919  299    203     298        206\n",
       "58963  20180124  115923  298    206     301        206\n",
       "58964  20180124  115925  301    206     321        206\n",
       "58965  20180124  115929  321    206     319        209\n",
       "58966  20180124  115932  319    209     311        208\n",
       "58967  20180124  115935  311    208     326        204\n",
       "58968  20180124  115938  326    204     319        206\n",
       "58969  20180124  115941  319    206     303        201\n",
       "58970  20180124  115944  303    201     323        203\n",
       "58971  20180124  115947  323    203     302        205\n",
       "58972  20180124  115950  302    205     314        202\n",
       "58973  20180124  115953  314    202     326        204\n",
       "58974  20180124  115956  326    204     308        201\n",
       "58975  20180124  115959  308    201     302        209\n",
       "58976  20180124  120002  302    209     303        207\n",
       "58977  20180124  120005  303    207     310        206\n",
       "58978  20180124  120009  310    206     330        208\n",
       "58979  20180124  120012  330    208     305        205\n",
       "58980  20180124  120015  305    205     301        202\n",
       "58981  20180124  120018  301    202     320        206\n",
       "58982  20180124  120021  320    206     313        208\n",
       "58983  20180124  120023  313    208     297        200\n",
       "58984  20180124  120026  297    200     323        204\n",
       "58985  20180124  120030  323    204     326        207\n",
       "58986  20180124  120033  326    207     321        208\n",
       "58987  20180124  120036  321    208     305        214\n",
       "\n",
       "[58988 rows x 6 columns]"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "data  = pd.read_csv(\"sensor_data_200.txt\", delimiter=\" \", \n",
    "                    header=None, names = (\"date\",\"time\",\"ir\",\"lidar\"))\n",
    "\n",
    "###計測値の先頭のデータを除去して後ろにくっつけ、\n",
    "###ある計測値の次の計測値のリストを作ってデータフレームに追加\n",
    "data[\"irnext\"] = np.append(data.ir.values[1:], data.ir.values[0]) \n",
    "data[\"lidarnext\"] = np.append(data.lidar.values[1:], data.lidar.values[0])\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAGoCAYAAAAaWdG6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEgj/HxSPFC/GQAmgAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f368a58>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.jointplot(data[\"lidar\"], data[\"lidarnext\"], data, kind=\"kde\") ###lidarcor###\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAGoCAYAAAAaWdG6AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMS4wLCBo\ndHRwOi8vbWF0cGxvdGxpYi5vcmcvpW3flQAAIABJREFUeJzt3Xd8HNW9/vHPV82Si2xLcpHl3gvG\nvYDpxZjeewshISThAgkppNzk3pt780slCRAgJCSUUBNKTAIm9G7AFfdu4yLbkuUiWXW15/eHVkau\nWm2bnd3n/fK+tBrNzn5HlubROXPmjDnnEBERSXYZXhcgIiISDgWWiIj4ggJLRER8QYElIiK+oMAS\nERFfUGCJiIgvKLBERMQXFFgiIuILCiwREfGFLK8LiJKm6RCRVGBeF+AHfg8sEXZV17OufC+1DUEa\nGoNkmDGgWwd6dc7FTMcBkVShwBJfcc6xpqyKN5eX8f6acpZu2cP2yrpDrtuhXSajijtz7phizh3T\niy7tcxJcrYjEkvl88ltfFy/h27BjL3+fu4nn529m084aAEq65jGwsAN9CtpT0iWP3OwMsjIzCAQd\nm3fWsGlnNcu3VvJZRTXZmcb0UT257dQhDO3RyeO9ETmIugLCoMCSpBUMOl5fvp2H3l3L7HUVZBiM\nLunMxP4FjO3ThaKO7VrdhnOO9TuqeWdVGe+sLKO2oZGLx/fmG6cPpVeXvATshUhYFFhhUGBJ0gk0\nBnl+/mYeeHsNa8r20q1TO04Z1p3jhxRRGEZIHc6e2gb+MX8z/166jaxM41vTh3HDtAFkZuhYIZ7T\nD2EYFFiSNJxzvLp0Gz+ftZw1ZXvpV9iec4/uxdSBhTENlbLKWv7ywXrmf7aL8X278ItLxjC4e8eY\nbV8kAgqsMCiwJCms2FrJD19YxCfrd9KrSy5XTOrLxH5d4zbKzznHe6vLefTDDTQ0Bvnv80Zx+aQ+\nGlUoXtEPXhgUWOKpukAjv39jNfe9tYa8nEwundCHU4Z3T1g33a7qeu57aw2LNu/mvDG9+OlFo+nY\nToNnJeEUWGFQYIlnlpXu4ZYn5rGmbC/HDS7i2qn9yM/LTngdwaDjHwu38Pe5G+lb0J4/XjeRIRpJ\nKImlwAqDAksSzjnH059s5Mczl5CXk8lXThjI2D5dvS6LZaV7uPv1VdQ3BrnrsjHMOKrY65IkfSiw\nwqDAkoSqbWjk+88v4rl5mzmqJJ+vnzQ4qS7ordhbz29eW8nq7VXccvJgvnn6UDI0ilDiTz9kYVBg\nScKUVdZx06NzmL9xFxeP781F40qSMgwaGoP85f31vLliO6eO6M5vLx9Lp9zEd1VKWkm+X4QkpMCS\nhFi5rZIb/vIJ5VV1fO2kwUweUOB1SUfUPMT+kQ/XM6CoA3+6fhIDijp4XZakLgVWGBRYEncfrtnB\nlx+dQ3amccf0YQzq5p9rnpZu2c1vX18FwO+uGMspw3t4XJGkKAVWGBRYElcvLyrl1qfm0yM/lztn\nDI9qpgqvlFXWcterK9mwo5pvnD6UW04enJRdmeJr+oEKgwJL4uax2Rv40QuLGdKjI9+ePpyOuf69\nvqku0Mif3l3He6vLOW1Ed3592Vg6ezAEX1KWAisMCiyJOeccv3t9Fb99bRXj+3bh1lOH0C4r0+uy\nouac45UlW/nrR59R3DmX+6+ewOjenb0uS1KDAisMCiyJqWDQ8d8vLuGRDzdwwpAibjphUMpNLrty\nWyV3v76KPbUN/OjcUVwzpa+mdJJo6QcoDAosiZn6QJA7/raQFxdu4ezRxVw1pS8ZKXog31PbwH1v\nrWbhxt3MOKonP7/4aHURSjRS8xclxhRYEhNVdQG+8tgc3l+9gysn9eG8sSVelxR3Qef416elPD1n\nIz3zc7n7yrFM6Jfcw/UlaSmwwqDAkqiVV9Xxhb98zNIte7jphIGcOLS71yUl1OrtVdzzxip2VNVz\nyymD+Y9TBpOVmeF1WeIvCqwwKLAkKuvK93L9nz9m255abj11COP7ej8noBeq6wM8/MF63l1Vzrg+\nXfjtFWPpV6gLjSVsCqwwKLAkYnM3VHDjI3MIBh13TB/GUM1wzodrynnovXU44L/OHcWlE3trQIaE\nQz8kYVBgSUReWlTK7U8toKBDDt+dMZyenXO9Lilp7Kiq4/6317Bkyx6mj+zB/7totC8vmJaEUmCF\nQYElbRIMOu55YzW/eW0lQ3t05I7pw8jXxLAHCTrHS4tKefqTjXRtn8MvLz2ak4al17k9aRMFVhgU\nWBK26voA3/rbQl5atJXjhxTxpeMGkpOlwQVHsmHHXn7/5mo27qzhC8f2584zh5Ob7f+LqCXmFFhh\nUGBJWNaWVfG1x+exclslV07uy9mji3VuJkz1gSBPfvwZs5ZsZWiPjtxz5XiG9dT5PtmPfpnCoMCS\nVv3r01K+8+xCMsz42kmDGduni9cl+dKCjbt44O011DY08sOzR3DN1H4KfWmmH4QwKLDksGrqG/np\nS8t4bPYGhnTvyG2nDtHggSjtqq7nD++sZcHGXZw2oju/uGQMBR2S547L4hkFVhgUWHJIizfv5ran\n5rOmbC9njS7mykl9dDFsjDjnmLVkK0989BldO+Tw28vHMm1wkddlibcUWGFQYMl+GhqDPPjOWn7z\n6kry87K5+cRBjC7RjOTxsGHHXu55czVbdtbw5RMGcsf0oSkxq71ERIEVBgWW7LNky26+8/dPWbJl\nD1MHFnDjtIG+voeVH9QFGvnr7A28tmw7I4o78bsrxukC7PSkwAqDAkuobWjk3jdW88Dba+jYLosv\nTOvPlAGFXpeVVuZt2Mkf3l1DbX2Q78wYxhenDdBdjdOL/rPDoMBKc++tKucHLyxiw45qjh9cxLXH\n9KOTLgT2xK7qev707jrmfraTSf278qtLx2g+wvShwAqDAitNba+s5af/WsYLC7bQMz+XLx43QOeq\nkoBzjndWlfPoh+txwJ0zhnPt1H5qbaU+/QeHQYGVZgKNQf46ewO/+vdKahsaOW9ML84fW6IZK5LM\njqo6/vjuWhZu2s2Efl35xSVHM6hbR6/LkvhRYIVBgZVG5m7YyY/+sZglW/YwuqQzNxzbn+IueV6X\nJYfR3Nr66+wN1AeC3HLKYL5y4kCNJExNCqwwKLDSQHlVHb+YtZxn5myioEMO10zpx9SBBZplwSd2\nVdfzyIfrmb22ggFFHfjfC47SdVupR7+MYVBgpbCGxiCPfriB3762kur6Rs4eXcyF40o0+apPLdy4\ni4c/WMfWPXWcNbon3ztzBH0K2ntdlsSGAisMCqwU5JzjrZVl/O8/l7KmbC9j+nTm2qn9KVH3n+/V\nB4K8+OkWZi7cAg6+fMIAbj5xkEZ2+p8CKwwKrBSzcOMu/t9Ly5i9roKe+blcO7Uf4/p2UfdfitlR\nVceTn2zk/dXldG2fzS2nDOHqKX3VevYv/YKGQYGVIhZu3MW9b67m1aXbyM/L4qJxvTl1eHfN/5fi\n1pRV8fQnG1m0eTe9Oufy1ZMHc+mE3gou/1FghUGB5WPBoOOdVWX86d11vLe6nI7tsjhjVE/OGt2T\n9jmaUimdLNq8m2fmbGT19iq6dWrHTccP5LJJfeicp65Cn1BghUGB5UPbK2t5ft5m/vrRBjZW1NAl\nL5szRxdz+oge5OXoL+t05ZxjyZY9vLBgM0u27CEvO5MLxpVwzdS+jOqli8KTnAIrDAosn6isbeDV\npdt4Yf5m3ltdTtDBiOJOnDaiB5P7F6jrT/azrnwvry7dyvtrdlAfCDKke0fOOboXZ43uyeDuHXVO\nM/noPyQMCqwktru6gVeXbePlxaW8s7KMhkZH907tOHZQIccN7kZJV436kyOrqgvwwZpyZq/dwfLS\nShzQMz+XaYOLOHZQIWP7dmFAYQdN/eQ9/QeEQYGVZLZX1vLvJduYtXgrs9fuIBB0FHXMYXL/AqYM\nLGSI/jqWCFXsrWfuhp0s2bKbpVv2UFkXAKBjuyxGl3RmVK98RpXkM6pXZwZ160imQiyR9M0OgwIr\nCWysqObfS7cxa3Epc9bv3PdX8OQBBUzqX8Cgbh0UUhJTQefYtLOGNWVVrC2rYl35XjZW1FDfGAQg\nLyeT0SWdGdenC5MHFDCxf4EGcMSXfsHDoMDyQENjkIUbd/HuqnJeXbqNpaV7AOhb0J5J/QuYPKCA\nPl3zFFKSUI1BR+nuGtaV72VN2V7WlFWxvnwvgaDDgJG98jl+SDdOGFLEhP5dNadhbOmXPQwKrDir\nqW+kdHcNK7ZWsrR0D4s27+bjdRVU1zdiwLCenZjQrysT+xXQs3Ou1+WK7Kc+EGT19kqWllaytHQ3\nK7dV0Rh05GZlMLF/AccOLmTqwEJGFufr2q/oKLDCoMA63IadY09NgLKqWrZX1lFWWceu6gZ21zSw\np6aBvfWN1AUaqQsEaQgECQQdDY1BahsaqWloZG9dIzuq6thTG9i3zQyDki55DOuZz1El+Ywq7qxb\n0Iuv1NQ3srR0D4u37GbJlt1srKgBICvDGF7ciVHFnelb2J5+he0p7pxHl/bZdMnLpkO7LHIyMzS4\n4/D0jQlDSgbW9spadlU30Bh0BJ2jMegIBB2BRkd9IEhNKFSq6wLsqW1gT02Aiup6dlTVUV5Vz/Y9\nTSFVFwge8k1zszPIzcokJyuDrEwjKyODzAwjM8PIycygXVYGOVkZdM7LpmuHHAra51DSNY8+Xdvr\nvlOSUnZV17NqWxWry6pYU1bFpp017K5pOOz6WRlGdubnvy/Zod+f7EyjXXZm0+9WdiZ52Zm0z8mk\nfU4WeTmff56b3fzIICez6fcsJzODrMwMsjKMrEwjwwwzsBYZ4HCE/uFc0+fOHfoAYkCGGRkGFvqY\nkRH6aE3bz8z4/D3M2P85TZ83Z1Bzz35OZsaRJitWYIUhJQPrR/9YzKMfbgh7IxkGnfOy6dI+hy7t\nsylon0NhxxwKOuRQ2KEdXTs0BU/nvGw6tcvSNU8iR1BdH6B0Vy079tZTWdtAZW2AmvpGGhqD1DcG\nCTQ6GkN/SDaG/pBsCAapDzQ96gJB6gKN1DY09Vg0PZqe+/loNbxnJ2bdfsLhvqzACoOvA8vMZgGx\nvDFQEVAew+0lK+1nakmX/YTU3ddy59wMr4tIdr4OrFgzsznOuYle1xFv2s/Uki77Cem1r3Iw9W2J\niIgvKLBERMQXFFj7e9DrAhJE+5la0mU/Ib32VQ6gc1giIuILamGJiIgvKLBERMQXFFgiIuILCiwR\nEfEFX8+8evLpZ7gnn/+X12WIiESlZ8essKZmmjFjhps1a1a8y0m0sKel8nULq2JHKs7QIiJyaOXl\n6X3M83VgiYhI+lBgiYiILyiwRETEF3w96EJST2OggcryUgL1dU132hNJFWZk5bSjU1ExmVnZXlfj\nSwosSSqV5aV0yc+noKAAM93TTlKHc46Kih3sKi+lS8++EW2jvKqO0t01FHfOi3F1/qAuQUkqgfo6\nhZWkJDOjoKCwqfcgQqW7a9lYURPDqvxFgSXJxTmFlaQsM1NXdxQUWCIi4gsKLJE09sqsWYwaOZwR\nw4bwi5//7JDr1NXVcdWVVzBi2BCmHTOV9evX7/vap59+yvHTjmXM0UcxbuzR1NbWAnDOWWcyYfxY\nxhx9FF//2s00NjYmYnf245zjG7ffyohhQxg/bgzz58075Hrz5s5l3NijGTFsCN+4/Vaab7lUUVHB\nmWdMZ+TwoZx5xnR27twJwK9/9UsmThjHxAnjGDtmNLk5WVRUVADwu9/+hjFHH8XYMaO55uqr9n0/\nYr1f6UqBJZIAgUAgLtuNJggaGxu57dZbePGfL7Fw0RKefvopli5detB6f/nzQ3Tt2oVlK1Zx6+23\n8/3v3Qk07dMXrr+We++7n4WfLua1198kO7tp9NsTTz3N3HkLWLBwEWVl5fz973+LuM5IzXr5ZVav\nWs3S5Su5//4/cMvXv3bI9W75+td44IEHWbp8JatXreaV0NRHv/j5zzj5lFNYunwlJ59yyr5Av+Nb\n32bO3PnMmTuf//3fn3LCCSdSUFDA5s2b+f299zD7o09YsHARjY2NPPP0UzHfr/SNKwWWyH7Wr1/P\nUaNGcN211zD6qJFcftmlVFdXA01/iZ968klMmTyRs8+cQWlpKQAP/emPHDN1MhPGj+WySy/Zt/6N\nX7yBr3/tZqYdM5Xvffc7vPP22/v+Mp80cTyVlZU457jzO99m7JjRjBt7NM888zQAb7/1FqedcjKX\nX3bpvnqa/7IeMmgA37vzu0yeNCGqIPjk448ZNGgwAwcOJCcnh8suu5wXZ/7joPVenDmTa6+9HoCL\nL76EN994Heccr/7734wefTRjxowBoLCwkMzMTADy8/OBplCrr6/fd17ywT88wIN/eOCg93j0kYe5\n6MILOO2Ukxk5fCg/+Z//jni/9tX94j+4+tprMTOmTJ3Krt279v2fNSstLWVP5R6mTJ2KmXH1tdcy\nc+YLodfP5Nrrmvb72uuuZ+YhvjdPP/0Ul19xxb7PA4EANTU1TR+rqyku7hX1fsjnFFgiB1i5YgU3\n3/xVFi1eSn5+Jx64/z4aGhq4/bZbeeqZv/HRx3O4/oYb+NF//gCACy68iA9nf8zceQsYPnw4f/nz\nQ/u2tXnTZt55731++eu7uOuuX3P33fcyZ+583nzrHfLy8nj++edYuHAhc+ctYNYrr/K9735n30F1\nwYL5/Pqu3/DpoiWsW7uWD95/f992CwsL+fiTuVx++RX71f7EE4/vC8WWj8svu/Sg/dy8ZTO9+/Te\n93lJ795s2bL5MOv1ASArK4vOnTuzY8cOVq1aiZlx9pkzmDxpAr/65S/2e93ZZ86gpLgHnTp14uKL\nLwHgpq/czE1fufmQ3/c5n3zM03/7O3PnL+TZZ//O3DlzDlrnqiuvOOT+PfbYowetu2XzFvr07rPv\n894lvdmyefMB62ymd0nvA9bZAsD2bdsoLi4GoGfPnmzftm2/11ZXV/PvV2Zx4UUXN33/Skr4xjfv\nYNCAfvTt3Yv8zp05ffr0Q+5rNNK4R1DXYYkcqE+fPhw7bRoAV111Dffeew/Tz5jBkiWLOXNG0wGo\nsbGR4p5NB7Mlixfz4x/9J7t272JvVdV+B6mLLrlkX6vj2GOP5dvfuoMrr7qKCy68iN69e/PBe+9x\n+RVXkJmZSY8ePTj+hBOZM+cT8jvlM2nSZHr3bjqYjhk7hvUb1jPtuOMAuPSyyw9Z+1VXXc1VV10d\nn2/MAQKBAB+8/x4fzP6Y9u3bc8bppzF+/AROOfVUAP718ixqa2u57tprePONNzjt9NOPuL1TTzud\nwsJCAC644ELef/89JkycuN86TzwZ+y62cJjZQaNX//nPFznm2GkUFBQAsHPnTl6cOZOVq9fSpUsX\nrrj8Mh5//K9cffU1Ma3FpXGnoAJL5AAHHpjMDOccI0eO4t33Pzho/S/deAN/e/Z5xowZw6OPPMzb\nb7+972sdOnTY9/w7372TM886m1kvv8RJJxzHP1868m0i2rVrt+95ZmYmjS3Og7XcbktPPPE4d/36\nVwctHzRoME8/s3/3YUmvEjZt3LTv882bNtGrV8lBr21abyO9e/cmEAiwe/duCgsLKendm+OOP4Gi\noiIAZpx5JvPnz9sXWAC5ubmce955vPjiP1oNrEN93w901ZVXsHLlioOW33b7N7j22uv2W9arpBcb\nN23c9/mmzZvoVVJywDolbNq86YB1mrrxuvfoQWlpKcXFxZSWltKte/f9XvvM00/v1x34+uuv0X9A\nf7p16wbABRdeyOwPP4h5YKUzdQmKHOCzzz5j9ocfAvDUU08wbdo0hg0bRnl52b7lDQ0NLFmyBIDK\nykqKi4tpaGjgySeeOOx216xZw+jRo/n2d77LhImTWLFiOdOOP56/PfMMjY2NlJWV8d677zBp0uSI\na7/qqqv3DQho+TgwrAAmTprE6tWrWLduHfX19TzzzNOcc+55B613zrnn8thjjwDw7LN/56STT8HM\nmD79DBYvXkR1dTWBQIB333mHESNGUlVVta9bMxAI8PJLLzFs2HAA7vv9vdz3+3sPWfvrr71KRUUF\nNTU1zJz5D449dtpB6zzx5FOH3L8DwwrgnHPO4/HHHsM5x0ezZ9M5v/O+Lr5mxcXF5HfK56PZs3HO\n8fhjj3HuuecDcO455/LYo037/dijj3Bui+/N7t27efedtznvvPP3Levbpy8fffQR1dXVOOd48403\nGD58xCH3NRrqEhSRfYYOG8b999/Hl798IyNGjOQrN3+VnJwcnnz6b3zz9tvYvWc3gUCAW2+9jVGj\nRvFf//0/HHfsVIqKujF5ymQqK6sOud177v4tb731FhkZGYwcOYoZM84kJyeHjz78kAnjx2Jm/PRn\nP6dnz56sWL487vuZlZXFb393D2efNYNgYyPXf+EGRo0aBcB//fhHTJg4kXPPPY8bvngjX7j+OkYM\nG0LXrgX89YknAejatSu33f4Njpk6GTNjxowzOevss9m2bRsXXXg+dXV1BINBTjrppH3nrVasWM4x\nhwgigImTJnP5pZewefMmrrzq6oO6A9vqzLPOYtaslxgxbAh57dvzpz/9+fP3mjCOOXPnA3DPvb/n\nxhtvoLamhjNmzGDGmWcC8O3v3slVV1zOw3/5M3379uOJp57e9/p/vPA8p50+fb+W7uQpU7jooouZ\nPGkCWVlZjB07ji99+aao9uFQ0jmwzM9j+seMn+Beeecjr8uQGCrfsJJhcfirNFzr16/ngvPPZcHC\nRZ7VkMouOO9cnvn7s+Tk5Oy3/NFHHmbu3Dn87u5Dt75SyYrlyyjqN3S/ZeHecbhd8RD32jsfcPyQ\nbnGpzSNhT22jFpaIJMwLM1/0ugTfawz6t5ERLQWWSAv9+/dX68oD113/Ba67/gtel+EL6RtXGnQh\nySY0Ik8kFTnnIMrJndP590OBJUklK6cdFRU70vqXUlJT8/2wsnLatb7yETQGY1SQD6lLUJJKp6Ji\ndpWXUl5ent7DoST1tLjjcDTS+Y85BZYklcys7IjvxiqSDoJpHFjqEhQR8ZF07hJUYImI+Eg6zyWo\nwBIR8ZE0vgxLgSUi4ifpPOhCgSUi4iNpnFcKLBERP9E5LBER8QW1sERERJKcAktERHxBgSUiIr6g\nwBIR8ZGMKGd79zMFloiIj6RxXimwRETEHxRYIiI+YmncxFJgiYj4SPrGlQJLRMRX0riBpcASERF/\nUGCJiIgvKLBERHxEcwmKiIgvpHFeKbBERPxEN3AUERFfCCqwRETEDxqDXlfgHQWWiIiPNAbTN7EU\nWCIiPtLQqC5BERHxgYY07hNUYImI+IgCKw7MrI+ZvWlmS81siZndFlp+aejzoJlNbLF+fzOrMbMF\noccD8apNRMSv6hrSN7Cy4rjtAHCHc26emXUC5prZq8Bi4CLgD4d4zRrn3Ng41iQi4mt1AQVWzDnn\nSoHS0PNKM1sGlDjnXoX0vqeLiEgkMsyoCzR6XYZnEnIOy8z6A+OAj1pZdYCZzTezt83s+LgXJiLi\nI2ZQ06DAihsz6wg8C9zunNtzhFVLgb7OuXHAN4EnzCz/ENu7yczmmNmcHeXl8SlaRCRJtDzmuWCQ\nmvr07RKMa2CZWTZNYfW4c+65I63rnKtzzu0IPZ8LrAGGHmK9B51zE51zEwuLiuJRtohI0mh5zMvK\nzKSmIeB1SZ6J5yhBAx4Cljnn7gpj/W5mlhl6PhAYAqyNV30iIn6TYUZ1ffp2CcZzlOA04FpgkZkt\nCC37PtAOuAfoBvzLzBY4584ATgD+x8wagCBws3OuIo71iYj4ihnUKLBizzn3HnC4oYDPH2L9Z2nq\nPhQRkUNI9xaWZroQEfGJDI0SFBERPzAzahVYIiKS7MzSe6YLBZaIiE9kGNSphSUiIsnPaAjqflgi\nIpLkzCCg24uIiEiyM3THYRER8YHmm1wE07RbUIElIuIbTYkVUGCJiEgya546KBBMz/NYCiwREZ9o\n7hJsCKiFJSIiSaz5Tu11jel5LZYCS0TEJ5q7BOsa1CUoIiJJLDOjKbJ21zR4XIk3FFgiIj6hwBIR\nEV/IDJ3D2rG33uNKvKHAEhHxiazMpsDatLPa40q8ocASEfGJDDM652WzsUKBJSIiSa57fjvWlO31\nugxPKLBERHxkQGEHFm/enZbzCSqwRER8ZGC3DlTXN7K2PP1aWQosEREfGVjUEYB5n+30uJLEU2CJ\niPhISdc8OuVm8dHaCq9LSTgFloiIj2SYMaI4nw/XlONcep3HUmCJiPjMqOJ8tuyu5bM0G96uwBIR\n8ZlRJZ0BeH/1Do8rSSwFloiIz/TqnEtBhxzeX1PudSkJpcASEfEZM2NUcT4frE6v81gKLBERHxpe\nnM/O6oa0mvVCgSUi4kPDe3YC4JP16TO8XYElIuJDxZ1zyc/LYs769LmAWIElIuJDZsbAoo4s2rzL\n61ISRoElIuJTA4s6sHp7FdX1Aa9LSQgFloiITw0o6kDQwbLSPV6XkhAKLBERn+pX2B6AZaWVHleS\nGFleFyByJAtKayN63dji3BhXIpJ8ijq2o0NOZtq0sBRYkpQiDaojvV4hJqnGzOhb2J6lWxRYIgkX\nbVC1ZdsKMEkF/Qs78Mby7QQag2RlpvZZHgWWJIV4BlUk76kwE78Y2K0jLy/eyqrtVYwozve6nLhS\nYInnvAir1ijMxC8GFnUAYMHGXSkfWKndfpSktqC0NinDqjXNdfuxdkk9xZ1z6ZKXzey1qX+rEQWW\neCJVDvYKLvGamTGiVz4frNmR8jO3K7Ak4VLxAK/gEi+N6pVPWWUdK7al9vVYCixJmHQ4qKf6/kly\nmtC3KwbMWrzV61LiSoElCZFOB/J02ldJDl3a5zC8uBMvLSr1upS4UmBJ3KXjATwdWpOSXCb3L2Tl\ntqqUnvVCgSVxle4H7XTff0mcaYMLyc40nvz4M69LiRsFlsSNDtZN1NqSROiUm82UAYU8N29zyt5u\nRIElcaED9MH0PZF4O21ED6rqAjw7b7PXpcSFAktiSq2JI9P3R+JpaI+ODO7ekQffXkOgMeh1OTEX\nt8Aysz5m9qaZLTWzJWZ2W2j5paHPg2Y28YDXfM/MVpvZCjM7I161SXzoQBw+zZYh8WBmnDemFxt3\n1vBSCg5xj+dcggHgDufcPDPRWikqAAAgAElEQVTrBMw1s1eBxcBFwB9armxmI4ErgFFAL+A1Mxvq\nnGuMY40SI/E88M4vrWl1nXHFeXF7/3hr/t5pjkKJhQn9ulLSNY97Xl/F2aOLycwwr0uKmbgFlnOu\nFCgNPa80s2VAiXPuVWj6S+AA5wNPOefqgHVmthqYDHwYrxolNmIdVuEEVDiv8VuIKbgkFjLMuHhc\nCXe/sZp/frqF88eWeF1SzCRktnYz6w+MAz46wmolwOwWn28KLZMkFsuwiiSo2rI9vwSYgkuiNWVg\nIf0WbuHX/17JWaOLyU6R+2TFfS/MrCPwLHC7cy7qK9rM7CYzm2Nmc3aUl0dfoHhufmlNzMPqSO+T\nqPeLls5vCex/zKvYEd4xL8OMyyb04bOKap76ZGOcK0ycuAaWmWXTFFaPO+eea2X1zUCfFp/3Di3b\nj3PuQefcROfcxMKiotgVK20WiwOql8HhhwDTwAxpecwrKAz/mDeubxdGFHfirn+vYHdNQxwrTJx4\njhI04CFgmXPurjBeMhO4wszamdkAYAjwcbzqk+j4PawOJZnDS6ElbWVmXDu1P7uqG7jvzdVelxMT\n8WxhTQOuBU4xswWhx1lmdqGZbQKOAf5lZq8AOOeWAM8AS4FZwNc1QjA5pWJYHSgZw0uhJW01oKgD\nJwztxkPvrWNtWZXX5UQtnqME3wMON57y+cO85v+A/4tXTRK9dAirA7Ws1+uBGxqQIW11xaQ+fLK+\ngh/PXMKjX5x8qBHavpEaQ0ckIdIxrA6ULK0utbYkXF3a53DphD68u6qcl31+MbECS8KisNpfMnQZ\nKrQkXKeP7EH/wvb818wlVNb6dwCGAktapbA6Mi/DS6El4cjMMG48bgBllXX88pUVXpcTsYRcOCz+\nFKuDYSqH1YGS6XyXSEuDu3fijFE9eezDDZw/toQJ/bp6XVKbqYUlh6Swil6iWl5qZUm4LpvYh8KO\nOXz32U+pC/hvELZaWHKQZD8ALtgafX1jeyZ2lF28W14LSms1clBalZeTyRenDeAXr6zg3jdWc8f0\nYV6X1CYKLNlPMs4NGIuAam2biQyw5u9LrINLoSXhGNe3K8cPKeK+N9dwxqieHFXS2euSwqYuQdkn\nmcJqwdbafY9ESPT7QfIMkZf0c93U/nTKy+Jbf1tIfcA/N3pUYEnM56uL5iCc6NA4Ug2JqiOWwZXs\n3bmSHDrmZnHjcQNYvrWSe95Y5XU5YVNgpblkuJdVM6+D6lASHVwiiTKxXwEnhLoGF27c5XU5YVFg\npbFkCatkaFW1JlE1KrQkka47pj9d2mfzzWcWUNuQ/KMGFVhpKpnCyk8SEVxRn/9Tt6CEqUO7LG46\nYSBryvb64oJiBVYaUlhFL97BpZaWJMrRvbswfWQPHnpvHR+sSe6b4mpYu0QlGcNq2eadYa03oiT6\nK/2b9yPR13WJxNJVU/qyePNuvvXMQmZ94wTyc7O9LumQ1MJKM8kwGjDWYbVs8879HpG8LlrxaHGp\nlSWJ0i4rk6+eNIite2r5yYtLvS7nsNTCSiNeh1UsD+ixCJnDbS+alleytLh0EbG01eDunThvTAl/\nm7uJ00f2YPqonl6XdJCwWlhmdmk4yyQ9eBlWsWoRxfs9YtXiUitLEuni8SX0L2zPnc8tYkdVndfl\nHCTcLsHvhblMkpSXk9nG4sCdiKCKx3v6Yci+SLOszAy+etJg9tQ08MMXFuOc87qk/RyxS9DMzgTO\nAkrM7O4WX8oHAvEsTJKPF2GV6JA6XA3RDtBYsLU24m7C+aU1ulWJJEzfgvZcMqE3T32ykRc/LeW8\nMb28Lmmf1lpYW4A5QC0wt8VjJnBGfEuTWPHqBozRhJUXLaojiVVrS8QPzjm6F0O6d+Q/X1jM9j3J\n83N7xBaWc24hsNDMXnfObWr5NTMbBiTPEUXiJpFhFcuQ2vXZ8iN+vUvf4W3eZrStrWhaWiKJkplh\n3HziIL733CK+9/wi/nTdRMzM67LCPof1upld1vyJmd0BPB+fkiSZtDWsIj1nE6sW1a7Plu97xHLd\nlqKtVS0t8YNeXfK4bGIfXl+2nefnb/a6HCD8Ye0nAQ+GRgb2AJYBk+NVlCSHSMKqrWIVUrHcRrgt\nr1ic2xJJZmce1ZNP1lfw45lLOGZQIcWdvT2XGlYLyzlXCswCjgH6A48456riWJfESKTnr+IdVrFo\nUUXSOgp3u+GKdB/a+v3S8HbxQkaoa7A+EOQ7f//U81GD4V6H9RowBTgKOBv4rZn9Kp6FiX9EElbR\niFdQRfoeiQotES/07JzLVVP68u6qch7/6DNPawn3HNa9zrnrnHO7nHOLgGOB3XGsSzzUlr/m23LQ\njbZVlYigOtR7hiOZRjSKxNrpI3owuqQz//evZawt865zLdwuwRfMrJ+ZnRZalA38Nn5liR+EG1Z+\nDKoD3z8ckeyjWlniB2bGV04YSGaGcfvTC2hoDHpSR7hdgl8G/g78IbSoN/BCvIqS2Ijk/FW4rau2\nhFUkIh3Bdyi16xcc9IiknnCopSWpqrBjO750/AA+3bSb3722ypMawh0l+HWaRgV+BOCcW2Vm3eNW\nlSS1eIZVrAKqLevk9h8b1nZ3fbY8rBGEGj0oqWrKgEJOHLqL+95azbTBRRwzqDCh7x/uOaw651x9\n8ydmlgUk1yRTErVwWlfxCKtYtKaiaT215XXxaGmF+z3VSEFJBl84tj898nO57an5CZ8gN9zAetvM\nvg/kmdnpwN+AF+NXlkQrHrdJD+fA2pbzVbHo8os0pKLZlpfn00S8lpudya2nDmFndT13PLOQYDBx\nbZdwA+tOoAxYBHwFeAn4YbyKksSLxV/viQqqaFpT4W6/NeHUr/NZkqr6F3bgmin9eGtlGX94Z23C\n3jesc1jOuSDwx9BDkpwXrau2hFWk4hVQh3uvcM9tJSvdxFHi6fSRPVi2dQ+/fGU5Y/t0Scj5rHBH\nCU4zs1fNbKWZrTWzdWaWuFiVsMVzZODhhBNWkbaq4t2aau29jySWrSwNbxe/MTNuOn4QPTvn8h9P\nzkvIrO7hdgk+BNwFHAdMAiaGPkoaiPZg2tag8jKkRCR8eTmZ3H7qUCprA3zt8XnUB+J7fVa4gbXb\nOfeyc267c25H8yOulUmbxaN1FW1XYFvCKhlDKpGtrHBopKAkmz4F7bnphIHM2bCTn760LK7vFe51\nWG+a2S+B54B94xidc/PiUpW0WTJ2BYZzMI9nQNWsmw9A3oBxcXuPZKfzWJIIxw4qYk3ZXh7+YD1H\n9+7MReN7x+V9wg2sKaGPE1ssc8ApsS1Hkkk0XYGJCqvmUGrrOm0JsdYGYIR7QXFrdHNH8bOrJvdl\nfflevvfcIob17MSoXp1j/h6tBpaZZQD3O+eeifm7S0wkW+uqtbCKJqjCCahwt5POLS+RWMvMMG49\ndQjff34RNz82l3/+x/F0bp8d0/do9RxWaEj7d2L6rhIz8QqrI7WuEhlWNevm7/eIpVhv70i8PI8V\nj8scRA6lc142t506hNLdtXzjmQUxv6g43EEXr5nZt8ysj5kVND9iWom0WbwORJF2BcYyrOIRUId7\nn3Ak22AQkWQ1tEcnrpnajzeWb+fBd2N79VO4gXU5TRPgvgPMDT3mxLQSaZNE3Un4QJG2FMI94Ccq\nqA58z2QRr+ux1MqSRJo+sgdTBhTwq1dWsGDjrphtN9z7YQ04xGNgzKqQhIjl5LYHOlLrKpyw8iKo\n/EzD2yWZmRlfOn4gXdpn8x9PzKOytiEm2w23hYWZHWVml5nZdc2PmFQgbebFIAuIrHUVblhJ/KmV\nJYnUsV0Wt5w8hM27avjJP5fGZJvhTs30Y+Ce0ONk4BfAeTGpQNokngedeA20OJJUCSvN4C5ysGE9\nO3HO0b14Zs4m3l9dHvX2wm1hXQKcCmx1zt0AjAFiP8hejiie563ice6ktdZVMoVVtLXE4jqstlK3\noPjBxeN7U9w5lzuf/ZSa+saothVuYNWEhrcHzCwf2A70ieqdpU28GmQB8WldRRIQtRsWHPGRKuI5\nEa66BSXRcrIy+NLxA9m4s4b731od1bbCDaw5ZtaFptuLzAXmAR9G9c4Sd+GGVaJbV20Nq3ADKdWC\nSyRVjCzOZ+rAAv743jrKo7hLcbijBL/mnNvlnHsAOB24PtQ1KAmQrH8Vx/u8TaQBpOA6smT9eZLU\ndumEPtQ1NHLfm2si3sYRA8vMxh/4AAqArNBzibN4dwXG6saMLcWidRWLwEm20IrHHYh1Hkv8oleX\nPE4c2o3HZq9n5976iLbR2lyCvw59zKVp4tuFgAFH03Th8DERvavElQ5iIpKMzhjVkzdXlPGvRaVc\nM7Vfm19/xBaWc+5k59zJQCkw3jk30Tk3ARgHbD7Sa0PTOL1pZkvNbImZ3RZaXhC6e/Gq0MeuoeUn\nmdluM1sQevyozXuTYuLddRNN6yqe3YGxbBklWysrXPG+A7G6BcULfQva06drHs/PP2J8HFa4gy6G\nOecWNX/inFsMjGjlNQHgDufcSGAq8HUzGwncCbzunBsCvB76vNm7zrmxocf/hL0XKcjLUYHxEk53\noF8DRkRaZ2YcO7iIuRt2sr2y7ce4cAPrUzP7U6gVdJKZ/RH49EgvcM6VNt/g0TlXCSwDSoDzgUdC\nqz0CXNDmqiVq8foLPlUniT3S/bBEJHxDuncEYNW2qja/NtzAugFYAtwWeiwNLQuLmfWnqRvxI6CH\nc6409KWtQI8Wqx5jZgvN7GUzG3WYbd1kZnPMbM6O8uivnE5G6q4RkWYtj3kVO/x/zOvVJQ+ANWVx\nCiznXK1z7jfOuQtDj98458I6qppZR+BZ4Hbn3J4DtutounMxNF3b1c85N4amKaBeOEwtD4bOpU0s\nLCoKp4S0EcvuwHiMaJP4SOZuYIley2NeQaH/j3ld8rLJzc5gfXl1m1/b2rD2Z0IfF5nZpwc+Wtu4\nmWXTFFaPO+eeCy3eZmbFoa8X0zRrBs65Pc65qtDzl4BsM/P//04bqXUliaKfNfGCmeEcZIY99frn\nWhvWflvo4zkRFGXAQ8Ay59xdLb40E7ge+Fno4z9C6/cEtjnnnJlNpilMd7T1faV18R6BFo3cfmN9\nOfBi12fLPZlPUMRvnHPUBYLk5bQWPwc74iuazzU55zZEUNc04FpgkZk1H4G+T1NQPWNmNwIbgMtC\nX7sE+KqZBYAa4IpQl6GEIVm6hXL7jz3swIu8AeOSasLblvIGjEvI+yzbvJMRJV0T8l4iyaimoWkC\n3PY5mW1+7REDy8wq+fwc035foukUVP7hXuucey+03qGceoj17wXuPVI9qU5dNE382soSkdZt2tn0\nx/Wgbh3b/NrWWlidIitJ/G5ESdeUGHiR20/D0UWSyfodewEY1euw7Z3DiuC0l/jd2J65nr13uF1v\nCprwjSvO87oEkbCtLdtLl/bZFHdu+3FIgZUk/NYdmIgBBtGGlkJPJLkEnWPhxl0cN7iIpnF5baPA\nkphrbVaItgxwyO03NqLg8SKs4n27lXjw2x9K4m9ry/ayq6aB00b0aH3lQ2j7uEJJG8l0Hqs5gFob\njBFJUCVqhKBIupuzoYIMgxOHdovo9QosiViXvsMP26o40vB2iHyIu7r5RPwpGHS8u6qcE4d2o2uH\nnIi2oS7BNOXlwItmydCySYYaRNLBp5t3UbG3nssm9ol4GwosOaJoLnINZ4ZzPwSGZmoXid7ry7bT\ntX02p0Z4/goUWEljbLH3LZ5ItDZaMJlDyw9hKZIKSnfVMHfDTq6e0o+crMhjR4GVIiK5FicZugWb\nKTz2l0z/NyLR+teiUrIzM7j+2P5RbUeBJa1qrVswFq0sSGxohX0Bcxu6AzX5rcjBKvbW8+6qci6e\nUEK3Tu2i2pYCK83F6i/5WIZWvIMrlVpzmuVCkt1z8zYRdI6vnjg46m0psFJIPA9esZhhvC2tlWQI\nFQ22EIlO6e4a3lyxnaum9KVvYfuot6fASiJeDbxIVCsL2h5asQ6ueAWhugNFDvbkx5/RLiuTW06J\nvnUFCixpg1jdx6mtLZdYBFdbtxGv1pXuhSXpYt6GnXyyfie3nDKY7p1i80exAivJRNvK8vqcRrgt\njUgCIdLgautr2lpbrFtXGiEoflcXaOThD9czqFsHvnz8wJhtV1MzCdB0kFywtfWJUMOZX/BIUza1\n1Nr0TYdzYAAdaoqnZDgHdiC1riRdPP3JRsoq67j3ynFRXXd1IAVWEhpbnBvVLNrjivOYX1oTw4r2\nF+vQAiIKrmaxDCe1rkSis2DjLl5evJXrjunHlIGFMd22ugRln1gfLNtyME+GEXnxDKt4tK687v4V\nOdCu6noeeHsNQ3t05PtnjYj59hVYSSrZp2oK9wDc1tDyKriSIay8aF0l+8+Z+Edj0PH7t1ZT29DI\nPVeOJzc7M+bvocBKUYn46zseoQWJD65kCCsRv3viow0s3ryHn1xwFMN6dorLeyiwkpgXf/3G66/8\nSM71JCK4kiWs2vp9V3egJJO3V5bx0uKtfOHY/lHdPqQ1CqwUlkytLGg62CdLcEWyzWQJK5FksmJr\nJQ+9t5ZjBhbyg7Njf96qJQVWkvNDK6ut3V6RjqyLVXBFElTJFFax+kNE568kWlt31/LrV1dQ0iWP\n+64eT3ZmfCNFw9olJsIZ6t5ScwCEM/T9QJEOhY8k7Noarn4JK5FoVdY28ItXlpOZYTx8w+SIb3vf\nFmph+UA0fwlHeoCL5GAayQCDaK5jam5xHSmIwlknVrUprCRd1AeC3PXqSnZU1fOn6ybSv6hDQt5X\nLSw5rHBnv2iprS0tiK611SzW57hSPazUHSiRCjrHfW+tZvnWSu69ahwT+xck7L3VwvIJL1pZkYp0\nKHekgzJiKZLzVX4LK5FoPP7RZ3y0roIfnDWCc47uldD3VmDJEUU6gq2tB/KWvAqueLaqIHnCSq0r\nidSsxVt5aVEpXzi2P186fkDC31+B5SNetbKiGXYdzYWziQqtSAKyra2qSK6zUstKksmc9RU8+uF6\nTh/Zg/88ZyRmlvAadA5LwhLJ+axmzQf3tp7bgtic3wpn++Hya6uqmVpXEok1ZVXc8+ZqRvfuzN1X\njCMzI/FhBQos34lmJvdoZ3FvPvimQnBF0nqLd1ipRSXJqLyqjl+9soLundrx0PWTyMuJ/RyB4VKX\noLRZtDMzeNlNGGn3XyqElVpX0lY19Y386pUVNDrHwzdMolundp7WoxaWD3nZytpXQxRdhBCb1haE\n1+KKJuQiCVeFlaSCYNDx+zdXs2lnDX+5YRKDu8dnQtu2UGCloViGFkTeRQjRBRfEb2BGIoIKFFaS\nvJ6es5G5n+3kJ+eP4oSh3bwuB1CXoG9FexCK5YEyFpO3JtNtOBRWku4+WreDmQu3cNWUvlx7TH+v\ny9lHgSUxEcnQ7QN5HVqRXjumsJJUsmlnNX94ew3j+nThx+eO9Lqc/SiwfCyZWlnNog2uaC44jkak\nQaWwklRS29DIb15bSYd2Wdx/zQTaZXk3IvBQFFg+F4vQildwRSNRoZXIVhXEP6zGFucqrCRiD3+w\nntJdtdx95Th6dk6+nyMNuhAgdgMxWvLyuq1wt91W0QSxLgiWZPbuqjLeXlnGracM5thBRV6Xc0hq\nYaWAWB2s4nVAjUU3YaxE0+WYbGHV3JpSWEm0tu+p5S/vr2Niv67ceuoQr8s5LLWwZD/NB9ZYt7bA\nu+mdWr4+EtF2b8Z0RKbCSWIs6BwPvLOGjAzjt1eMJSvOdw2OhgIrRURzMfGhxCu4YnXBMbQeXtG2\nzGIxXF+3s5dk98qSrSwrreQXFx9N767tvS7niBRYKSTWoQXJeW6rWTwHZiRLWCmoJJ627q7lqY83\ncsqwblw6sbfX5bQqedt+kjSSdSRhPMTiejJQWEnyc87xp/fWkpOVwf+7+GhPbhfSVgqsFBPPg1w8\ngitZQitWQQUKK/GHd1aVsWTLHu48czg98v3x86bASkHxPtjFI7S8DK5YvrfCSvxgT00Df539GRP7\ndeWqyX29LidsOoeVouJxPquleAzKiHZARiTvFysaXCF+8tQnn1Hb0MhPLxpNhkc3Y4yEWlgSFT+2\ntmL9Hgor8ZOV2yp5c0UZNx43gKE9vL9lSFsosFJYog6AyTgnYSK2GctzegorSYRg0PHwB+vpmZ+b\n1BcIH07cAsvM+pjZm2a21MyWmNltoeUFZvaqma0KfewaWm5mdreZrTazT81sfLxqSyeJDK1kDK7m\n18c6/HQxsPjR68u3s658Lz88ZwQd2vnvjFA8Kw4Adzjn5plZJ2Cumb0KfAF43Tn3MzO7E7gT+C5w\nJjAk9JgC3B/6KD4Sj+u2YP/zTa2d54pnl2LMu0AVVpIgVbUBnpmzkWMGFnL26GKvy4lI3ALLOVcK\nlIaeV5rZMqAEOB84KbTaI8BbNAXW+cCjzjkHzDazLmZWHNqORCHeAzAOFK/QaubFiMJE3BJEJJ6e\nmbuRmvpG/uu8Ub645upQEnIOy8z6A+OAj4AeLUJoK9Aj9LwE2NjiZZtCyw7c1k1mNsfM5uwoL49b\nzakm0X/Jx6uLMNHiuR9qXUk4Wh7zKnZEdszbsGMvry/bxjVT+zKsp78GWrQU98Ays47As8Dtzrk9\nLb8Wak25tmzPOfegc26ic25iYVFyToGfrLw4QPo1tOIduAorCVfLY15BYduPec45Hv1wA/l52Xzj\n9KFxqDBx4hpYZpZNU1g97px7LrR4m5kVh75eDGwPLd8M9Gnx8t6hZRJDXoWWX4IrEbUqrCSRPl5f\nwdLSPdwxfRhd2ud4XU5U4jlK0ICHgGXOubtafGkmcH3o+fXAP1osvy40WnAqsFvnr+LDqwNmMgdX\nompTWEkiNTQGefLjzxjaoyNXTurT+guSXDxbWNOAa4FTzGxB6HEW8DPgdDNbBZwW+hzgJWAtsBr4\nI/C1ONaW9rw8cCZTaCUyRBVWkmivLNnKtj11/Oc5I5P6PlfhiucowfeAww1FOfUQ6zvg6/GqRw6W\n6NGDLcXzRpFtef9EUVhJolXWNvD8/M2cPKwbxw/p5nU5MeG/K8ckprwMLUh8cHnRulNYiRdmLtxC\nTX0j3ztrhNelxIwCSzwPLdg/SGIdXl51QSqoxCsVe+v595JtXDi+xHfzBR6JAkuAzw+uXgcXRB9e\nyXCOTGElXnphwWaCzvGN0/w9jP1ACizZTzK0tlpKhvBpK4WVeGl3TQNvryjj4vG96VPQ3utyYsr/\nw0Yk5sYW5+qgGyF938RrsxZvpaExyE0nDvS6lJhTYMlh6eAbPoW8JIO6QCOvLdvG9FE9GNSto9fl\nxJwCS45IB+LW6fsjyWL22gqq6gLcMG2A16XEhQJLwqKD8qHp+yLJ5I3l2xhY1IEpAwq8LiUuNOhC\nwpZMIwm9pqCSZLNpZzUrt1Xxg7NG+Pb2Ia1RC0vaLN27CdN53yV5vb96BxkGF4w76K5MKUMtLIlY\nurW4FFSSrJxzfLi2nGMGFdKtUzuvy4kbtbAkaunQ4kr1/RN/W1u+l2176jh/TOq2rkAtLImhVGxx\nKajEDz5eV0GmGdNH9Wh9ZR9TYEnMtTzI+zW8FFTiJ3M2VDB1YIHvb9DYGgWWxJXfwktBJX6zeWcN\nW3bVcvOJg7wuJe4UWJIwyRheCijxuzkbKgCYPrKnx5XEnwJLPHFgUMQzwBRKksrmbNjJ0b0707Nz\n6v+cK7AkKYQTKgtKaxU+Ii3srK5n9fYqvjU9tW4jcjga1i6+obAS2d+c9TsBmD4q9bsDQYElIuJb\nczdU0K+wPUO6p97M7IeiwBIR8aHq+gBLtuxh+sgeKTt34IEUWCIiPrRw424CQcfpaTA6sJkCS0TE\nh+Z/tpPOedmM79vF61ISRoElIuIzQedYsGkXpwzvTlZm+hzG02dPRURSxIYd1VTWBjhhaJHXpSSU\nAktExGeWbNkNwDEDFVgiIpLElpXuYUBRh7SY3aIlBZaIiM+s31HNuD7pM9iimQJLRMRH9tQ2ULG3\nnhHF+V6XknAKLBERH9lYUQ3A8OJOHleSeAosEREfKa+qB6BvQXuPK0k8BZaIiI/srG4KrO6d0mvA\nBSiwRER8ZVd1A51ys8jLyfS6lIRTYImI+Eh1fYBOuel5K0MFloiIj9QHguRlp1/rChRYIiK+UhcI\nkqvAEhGRZBcIOtplpeehOz33WkTEpxqDwbSaob2l9NxrERGfagw6sjLS4w7DB1JgiYj4SKO6BEVE\nxA8aGoO0y9KgCxERSXL1AUeOWlgiIpLsahoa6agLh0VEJNntrQuQn5vtdRmeUGCJiPiEc03XYeXn\nqYUlIiJJLBAMAlDYIcfjSryhwBIR8YnGoAOgqGM7jyvxhgJLRMQnAgosERHxg+bA6p6vwBIRkSTW\nGAxiqIUVc2b2ZzPbbmaLWywbY2YfmtkiM3vRzPJDy/ubWY2ZLQg9HohXXSIifhVodHRpn022Jr+N\nuYeBGQcs+xNwp3NuNPA88O0WX1vjnBsbetwcx7pERHwpEHR065SerSuIY2A5594BKg5YPBR4J/T8\nVeDieL2/iEiqaQy6tO0OhMSfw1oCnB96finQp8XXBpjZfDN728yOP9wGzOwmM5tjZnN2lJfHs1YR\nEc+1PObVNwQoSNNrsCDxgfVF4GtmNhfoBNSHlpcCfZ1z44BvAk80n986kHPuQefcROfcxMKiooQU\nLSLilZbHPDIy6NI+PadlAkjo/B7OueXAdAAzGwqcHVpeB9SFns81szU0dR/OSWR9IiLJLBh0dErT\neQQhwS0sM+se+pgB/BB4IPR5NzPLDD0fCAwB1iayNhGRZOeATmk6UzvEsYVlZk8CJwFFZrYJ+DHQ\n0cy+HlrlOeAvoecnAP9jZg1AELjZOXfggA0RkbTXIUeBFXPOuSsP86XfHWLdZ4Fn41WLiEiqyMtO\nz7sNg2a6EBHxlXbZ6XvYTt89FxHxoZw0neUCFFgiIr6SpcASERE/yMo0r0vwjAJLRMRHsjIUWCIi\n4gMZpsASEREfSOO8UktBDz8AAAVeSURBVGCJiPhFQYcceubnel2GZxRYIiI+UdIlj4HdOnpdhmcU\nWCIi4gsKLBER8QUFloiI+IICS0REfEGBJSIivmDOOa9riJiZlQEbYrjJIqA8httLVtrP1JIu+wmp\nu6/lzrkZra1kZrPCWS9V+TqwYs3M5jjnJnpdR7xpP1NLuuwnpNe+ysHUJSgiIr6gwBIREV9QYO3v\nQa8LSBDtZ2pJl/2E9NpXOYDOYYmIiC+ohSUiIr6gwBIREV9Im8Aysz+b2XYzW9xi2Rgz+9DMFpnZ\ni2aWH1re38xqzGxB6PGAd5W3jZn1MbM3zWypmS0xs9tCywvM7FUzWxX62DW03MzsbjNbbWafmtl4\nb/cgPBHs50lmtrvF/+mPvN2D8B1hXy8NfR40s4kHvOZ7of/TFWZ2hjeVt01b99PPv6cSIedcWjyA\nE4DxwOIWyz4BTgw9/yLwk9Dz/i3X89MDKAbGh553AlYCI4FfAHeGlt8J/Dz0/CzgZcCAqcBHXu9D\nnPbzJOCfXtcd430dAQwD3gImtlh/JLAQaAcMANYAmV7vRxz207e/p3pE9kibFpZz7h2g4oDFQ4F3\nQs9fBS5OaFFx4Jwrdc7NCz2vBJYBJcD5wCOh1R4BLgg9Px941DWZDXQxs+IEl91mEeynbx1uX51z\ny5xzKw7xkvOBp5xzdc65dcBqYHLiKo5MBPspaSZtAuswltD0yw1wKdCnxdcGmNl8M3vbzI5PfGnR\nM7P+wDjgI6CHc6409KWtQI/Q8xJgY4uXbQot840w9xPgGDNbaGYvm9moxFYZGwfs6+Gk2v/pkfj+\n91TCl+6B9UXga2Y2l6YuiPrQ8lKgr3NuHPBN4Inm81t+YWYdgWeB251ze1p+zTnngJS4nqEN+zkP\n6OecGwPcA7yQ0EJj4Ej7mkrasJ++/z2VtknrwHLOLXfOTXfOTQCepKmvn1BXyo7Q87mh5UO9q7Rt\nzCybpl/4x51zz4UWb2vu6gt93B5avpn9W5a9Q8uSXlv20zm3xzlXFXr+EpBtZkUelB2Rw+zr4aTa\n/+kh+f33VNourQPLzLqHPmYAPwQeCH3ezcwyQ88HAkOAtV7V2RZmZsBDwDLn3F0tvjQTuD70/Hrg\nHy2WXxcaLTgV2N2iSy1ptXU/zaxn6DWY2WSafvZ3JK7iyB1hXw9nJnCFmbUzswE0/fx+HM8aY6Gt\n++nn31OJkNejPhL1oKkFVQo00NSnfyNwG00jkVYCP+PzmT8upun81gKaupLO9br+NuzncTR1g30a\nqn8BTSMBC4HXgVXAa0BBaH0Dfk/TX6eLaDEKK5kfEeznLaH/04XAbOBYr/chBvt6YehnuQ7YBrzS\n4jU/CP2frgDO9Hof4rGffv491SOyh6ZmEhERX0jrLkEREfEPBZaIiPiCAktERHxBgSUiIr6gwBIR\nEV9QYElaMrOq0MdeZvb3w6zz1oGzoIuIdxRYktacc1ucc5fEYlvNF7GKSHwosCSthe6ptDj0PM/M\nnjKzZWb2PJDXYr37zWxO6L5M/91i+Xoz+7mZzaNpAmURiZMsrwsQSSJfBaqdcyPM7GiaZk9o9gPn\nXEWoFfW6mR3tnPs09LUdzjlf3PhSxM/UwhL53AnAXwFCYfRpi69dFmpFzQdG0XRjwWZPJ6xCkTSm\nFpZIK0ITyH4LmOSc22lmDwO5LVbZ60lhImlGLSyRz70DXAVgZkcBR4eW59MUSrvNrAdwpjfliaQ3\ntbBEPnc/8BczW0bT7dnnAjjnFprZfGA5TXfyfd+7EkXSl2ZrFxERX1CXoIiI+IICS0REfEGBJSIi\nvqDAEhERX1BgiYiILyiwRETEFxRYIiLiC/8fM1eh9rusz/IAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f368160>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d = data[ (data[\"time\"] < 120000) & (data[\"time\"] >= 113000) ]\n",
    "\n",
    "sns.jointplot(d[\"lidar\"], d[\"lidarnext\"], d, kind=\"kde\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAasAAAGoCAYAAAD4hcrDAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10e845d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "d = data[ (data[\"time\"] < 120000) & (data[\"time\"] >= 113000) ]\n",
    "\n",
    "sns.jointplot(d[\"ir\"], d[\"irnext\"], d, kind=\"kde\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
